The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Clustering of Time-Course Microarray Data Using Pharmacokinetic Parameter

약동학적 파라미터를 이용한 시간경로 마이크로어레이 자료의 군집분석

  • Lee, Hyo-Jung (Department of Statistics, Korea University) ;
  • Kim, Peol-A (Pharmaceuticals & Medical Devices Research Department, KFDA) ;
  • Park, Mi-Ra (Department of Preventive Medicine, Eulji University)
  • 이효정 (고려대학교 통계학과) ;
  • 김별아 (식품의약품안전청 신약연구팀) ;
  • 박미라 (을지대학교 의과대학 예방의학교실)
  • Received : 20110400
  • Accepted : 20110600
  • Published : 2011.08.31
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Abstract

A major goal of time-course microarray data analysis is the detection of groups of genes that manifest similar expression patterns over time. The corresponding numerous cluster algorithms for clustering time-course microarray data have been developed. In this study, we proposed a clustering method based on the primary pharmacokinetic parameters in the pharmacokinetics study for assessment of pharmaceutical equivalents between two drug products. A real data and a simulation data was used to demonstrate the usefulness of the proposed method.

시간경로 마이크로어레이 자료 분석의 주요 목적 중의 하나는 유전자들의 시간에 따른 발현수준의 변화를 고려함으로써 발현패턴에 기초한 유전자들의 그룹을 찾기 위한 것으로, 군집분석을 위한 다양한 알고리즘들이 제안되었다. 본 연구에서 시간경로 마이크로어레이 자료에 대한 군집분석을 위해 두 약물제제 간 생물학적 동등성을 평가하기 위한 약동학 시험에서 사용되는 약동학적 파라미터 값에 기초한 군집분석을 제안하였으며 이를 실제 데이터 및 모의실험 자료에 적용하여 유용성을 검토하였다.

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References

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